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Wen, T.-H., Gasic, M., Mrksic, N., Su, P.-H., Vandyke, D. and Young, S. (2015) Semantically Conditioned Lstm-Based Natural Language Generation for Spoken Dialogue Systems. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, Lisbon, 17-21 September 2015, 1711-1721.
https://doi.org/10.18653/v1/D15-1199

has been cited by the following article:

• TITLE: An Artificial Intelligence Based Virtual Assistant Using Conversational Agents

  AUTHORS: Mehdi Mekni

  KEYWORDS: Conversational Agent, Software Engineering, Virtual Assistant

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.14 No.9, September 2, 2021

  ABSTRACT: Conversational agents are natural language interaction interfaces designed to simulate human conversations using Artificial Intelligence (AI). This paper explores current applications of these systems and raises the lack of their availability in education. To address this problem, we provide the design of a conversational agent system, which is efficient and time-saving in assisting student/college seeking information about curriculum, scheduling, teachers, classroom location at any time 24/7/365. To verify and validate the design and implementation of our proposed model, a pilot project has been set up involving three leading academic institutions. This platform is designed and developed to help universities provide continuous and instant assistance to their student, staff, and faculty communities.